Impact Mechanic

Impact mechanics studies the forces and effects of collisions, encompassing diverse applications from material science to robotics. Current research focuses on improving predictive models, particularly using deep neural networks and explainable AI to analyze complex phenomena like splashing drops and Richtmyer-Meshkov instabilities, as well as to optimize material properties and robotic control strategies for impact mitigation. This field is crucial for advancing safety in human-robot interaction, improving the design of impact-resistant materials and structures, and enhancing the reliability of robotic systems in dynamic environments.